Texas A&M Trains AI to Identify Alzheimer’s Stage Using Multimodal Patient Data
Researchers are developing a system that uses patient data to help physicians identify the disease sooner. July 15, 2026 — Artificial intelligence excels at spotting patterns in large data sets, and Texas A&M University researchers are aiming to leverage that strength to detect Alzheimer’s disease sooner. There is currently no single test that can determine if…